Items where Author is "Saedi, M."
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Rezaeianfardouei, H., Townley, M. & Saedi, M. 
ORCID: 0000-0001-6436-1057 (2025).
Reducing Failover Latency in Cisco ASA Site-to-Site VPNs Through IPsec Parameter Tuning.
Paper presented at the 2025 IEEE CyberSciTech / DASC / PICom / CBDCom Co-located Conferences, 21-24 Oct 2025, Hakodate City, Hokkaido, Japan.
Hossain, M. M., Miah, M. B. A., Saedi, M. ORCID: 0000-0001-6436-1057 , Sifat, T. A., Hossain, M. N. & Hussain, N. (2025).
An IoT-Based Lung Cancer Detection System from CT Images Using Deep Learning.
Paper presented at the International Conference on Emerging Trends in Cybersecurity (ICETCS 2025), 27-28 Oct 2025, Wolverhampton, UK.
Nabi, M. R., Miah, M. B. A., Saedi, M. ORCID: 0000-0001-6436-1057 , Nobe, S., Hosen, A. S. M. S. & Aminuddin, A. (2025).
LT-SAA: A Lightweight Transformer with Sentiment-Aware Attention for Fine-Tuned BERT-Based Sentiment Classification.
Paper presented at the International Conference on Emerging Trends in Cybersecurity (ICETCS 2025), 27-28 Oct 2025, Wolverhampton, UK.
Mohapatra, R., Saedi, M. ORCID: 0000-0001-6436-1057, Mirtaheri, S. L. & Fehmi, J. (2025).
VIGIL-AI: Real-Time Cyber Threat Entity Recognition from OSINT Using Hybrid Regex–Transformer Models.
Paper presented at the International Conference on Emerging Trends in Cybersecurity (ICETCS 2025), 27-28 Oct 2025, Wolverhampton, UK.
Rezaeianfardouei, H. & Saedi, M. ORCID: 0000-0001-6436-1057 (2025).
Study of Failover Time in Site-to-Site VPNs Across Leading Firewall Vendors: Fortinet, Check Point, Palo Alto, and Cisco.
Paper presented at the 2025 IEEE 11th Information Technology International Seminar (ITIS), 8-9 Oct 2025, Lombok, Indonesia.
Saedi, M. ORCID: 0000-0001-6436-1057 (2025).
RBS-MLP Datasets for 5G Rogue Base Station Detection.
[Dataset]
Lamptey, R., Saedi, M. & Stankovic, V. ORCID: 0000-0002-8740-6526 (2025).
Machine-Learning Anomaly Detection for Early Identification of DDOS in Smart Home IoT Devices.
Paper presented at the 2025 IEEE International Conference on Cyber Security and Resilience, 4-6 Aug 2025, Crete, Greece.
Saedi, M. ORCID: 0000-0001-6436-1057, Moore, A. & Perry, P. (2022).
Synthetic Generation of Realistic Signal Strength Data to Enable 5G Rogue Base Station Investigation in Vehicular Platooning.
Applied Sciences, 12(24),
article number 12516.
doi: 10.3390/app122412516
Saedi, M. ORCID: 0000-0001-6436-1057, Moore, A., Perry, P. , Shojafar, M., Ullah, H., Synnott, J., Brown, R. & Herwono, I. (2020).
Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario.
In:
2020 IEEE Conference on Communications and Network Security (CNS).
2020 IEEE Conference on Communications and Network Security (CNS), 29 Jun - 1 Jul 2020, Avignon, France.
doi: 10.1109/cns48642.2020.9162275
Nowroozi, E., Habibi, H., Mughal, A. & Saedi, M. ORCID: 0000-0001-6436-1057
Enhancing Federated Learning Security: Cluster-Based Strategies to Counter GAN-Poisoned Attacks.
In:
Adversarial Example Detection and Mitigation Using Machine Learning.
Advances in Information Security.
. Springer.